{"id":"https://openalex.org/W1625935909","doi":"https://doi.org/10.5220/0004668202590266","title":"IPFViewer - A Visual Analysis System for Hierarchical Ensemble Data","display_name":"IPFViewer - A Visual Analysis System for Hierarchical Ensemble Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1625935909","doi":"https://doi.org/10.5220/0004668202590266","mag":"1625935909"},"language":"en","primary_location":{"id":"doi:10.5220/0004668202590266","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004668202590266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Visualization Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54594462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9172999858856201,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633931636810303},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.741624116897583},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.6106173992156982},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.565632164478302},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5415504574775696},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5244596004486084},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5244496464729309},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5145239233970642},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.49115392565727234},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44216081500053406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.421819269657135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33367305994033813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633931636810303},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.741624116897583},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.6106173992156982},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.565632164478302},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5415504574775696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5244596004486084},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5244496464729309},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5145239233970642},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.49115392565727234},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44216081500053406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421819269657135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33367305994033813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004668202590266","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004668202590266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Visualization Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1964146567","https://openalex.org/W1972641242","https://openalex.org/W2021705019","https://openalex.org/W2085074505","https://openalex.org/W2106281550","https://openalex.org/W2116856566","https://openalex.org/W2124799063","https://openalex.org/W2134678736","https://openalex.org/W2141439248","https://openalex.org/W2141653286","https://openalex.org/W2168421103","https://openalex.org/W2171073562","https://openalex.org/W2610881169","https://openalex.org/W3157185547"],"related_works":["https://openalex.org/W2564956852","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2126824079","https://openalex.org/W4392522134","https://openalex.org/W2166699593","https://openalex.org/W2100825595"],"abstract_inverted_index":{"Analyzing":[0],"ensemble":[1,24,68,82,91,113],"data":[2,34,44,99,107],"is":[3,27,121],"very":[4],"challenging":[5],"due":[6],"to":[7],"the":[8,11,62,97,117],"complexity":[9],"of":[10,64,67,80,89,125],"task.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"describe":[17],"IPFViewer,":[18],"a":[19,38],"visual":[20,76],"analysis":[21,93],"system":[22,53],"for":[23,87,119],"data,":[25],"that":[26,59],"hierarchical,":[28],"multidimensional":[29],"and":[30,42,50,75,104,112],"multimodal.":[31],"The":[32],"exemplary":[33],"set":[35],"comes":[36],"from":[37,55],"steel":[39],"production":[40],"facility":[41],"comprises":[43],"about":[45],"their":[46],"melting":[47],"charges,":[48],"samples":[49],"defects.":[51],"Our":[52],"differs":[54],"existing":[56],"ones":[57],"in":[58],"it":[60],"encourages":[61],"usage":[63],"side-by-side":[65,78],"visualization":[66,79,120],"members.":[69],"Besides":[70],"trend":[71],"analysis,":[72],"outlier":[73],"detection":[74],"exploration,":[77],"detailed":[81],"members":[83],"enables":[84],"rapid":[85],"checking":[86],"repeatability":[88],"single":[90],"member":[92,114],"results.":[94],"IPFViewer":[95],"supports":[96],"following":[98],"interaction":[100],"methods:":[101],"Hierarchical":[102],"sorting":[103],"filtering,":[105],"reference":[106],"selection,":[108],"automatic":[109],"percentile":[110],"selection":[111],"aggregation,":[115],"while":[116],"focus":[118],"on":[122],"small":[123],"multiples":[124],"multiple":[126],"views.":[127]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
